numpy.ma.mask_or()函数| Python

numpy.ma.mask_or()函数将两个掩码与 logical_or运算符组合在一起。如果另一个是 nomask（即 False），则结果可能是 m1 或 m2 上的视图。

Syntax : numpy.ma.mask_or(m1, m2, copy = False, shrink = True)

Parameters :
m1, m2 : [ array_like] Input masks.
copy : [bool, optional] If copy is False and one of the inputs is nomask, return a view of the other input mask. Defaults to False
shrink : [bool, optional] Whether to shrink the output to nomask if all its values are False. Defaults to True.

Return : The result masks values that are masked in either m1 or m2.

代码#1：

# Python program explaining
# numpy.ma.mask_or() function
  
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
  
m1 = geek.ma.make_mask([1, 1, 0, 1])
m2 = geek.ma.make_mask([1, 0, 0, 0])
  
gfg = geek.ma.mask_or(m1, m2)
  
print (gfg)

输出 ：

[ True  True False  True]

代码#2：

# Python program explaining
# numpy.ma.mask_or() function
  
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
  
m1 = geek.ma.make_mask([1, 0, 0, 0])
m2 = geek.ma.make_mask([1, 1, 0, 1])
  
gfg = geek.ma.mask_or(m1, m2)
  
print (gfg)

输出 ：

[ True  True False  True]